Overview

Dataset statistics

Number of variables27
Number of observations110
Missing cells116
Missing cells (%)3.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory22.8 KiB
Average record size in memory212.4 B

Variable types

NUM23
CAT4

Warnings

totalvariablecosts_gbpperkgcarc is highly correlated with feed_gbpperkgcarc and 1 other fieldsHigh correlation
feed_gbpperkgcarc is highly correlated with totalvariablecosts_gbpperkgcarcHigh correlation
totalfixedcosts_gbpperkgcarc is highly correlated with depreciationandfinance_gbpperkgcarcHigh correlation
depreciationandfinance_gbpperkgcarc is highly correlated with totalfixedcosts_gbpperkgcarcHigh correlation
total_gbpperkgcarc is highly correlated with totalvariablecosts_gbpperkgcarcHigh correlation
averagefarmfeedprice_europertonne is highly correlated with finisher_europertonneHigh correlation
finisher_europertonne is highly correlated with averagefarmfeedprice_europertonneHigh correlation
pigsrearedsowyear is highly correlated with pigsweanedsowyear and 1 other fieldsHigh correlation
pigsweanedsowyear is highly correlated with pigsrearedsowyear and 1 other fieldsHigh correlation
pigssoldsowyear is highly correlated with pigsweanedsowyear and 1 other fieldsHigh correlation
averagecarcaseweightcoldkg is highly correlated with averageliveweightatslaughterkgHigh correlation
averageliveweightatslaughterkg is highly correlated with averagecarcaseweightcoldkgHigh correlation
country is highly correlated with country_upcaseHigh correlation
country_upcase is highly correlated with countryHigh correlation
feed_gbpperkgcarc has 2 (1.8%) missing values Missing
othervariablecosts_gbpperkgcarc has 2 (1.8%) missing values Missing
totalvariablecosts_gbpperkgcarc has 2 (1.8%) missing values Missing
labour_gbpperkgcarc has 2 (1.8%) missing values Missing
depreciationandfinance_gbpperkgcarc has 2 (1.8%) missing values Missing
totalfixedcosts_gbpperkgcarc has 2 (1.8%) missing values Missing
total_gbpperkgcarc has 2 (1.8%) missing values Missing
sow_europertonne has 19 (17.3%) missing values Missing
rearer_europertonne has 19 (17.3%) missing values Missing
finisher_europertonne has 19 (17.3%) missing values Missing
averagefarmfeedprice_europertonne has 19 (17.3%) missing values Missing
_merge_1 has 2 (1.8%) missing values Missing
pigsweanedsowyear has 2 (1.8%) missing values Missing
pigsrearedsowyear has 2 (1.8%) missing values Missing
pigssoldsowyear has 2 (1.8%) missing values Missing
litterssowyear has 2 (1.8%) missing values Missing
rearingmortality has 2 (1.8%) missing values Missing
finishingmortality has 2 (1.8%) missing values Missing
finishingdailyliveweightgaingday has 2 (1.8%) missing values Missing
finishingfeedconversionratio has 2 (1.8%) missing values Missing
averageliveweightatslaughterkg has 2 (1.8%) missing values Missing
averagecarcaseweightcoldkg has 2 (1.8%) missing values Missing
carcasemeatproductionsowyearkg has 2 (1.8%) missing values Missing
country has 2 (1.8%) missing values Missing
country_upcase is uniformly distributed Uniform

Reproduction

Analysis started2022-05-09 21:12:39.487118
Analysis finished2022-05-09 21:14:20.613407
Duration1 minute and 41.13 seconds
Software versionpandas-profiling v2.9.0
Download configurationconfig.yaml

Variables

feed_gbpperkgcarc
Real number (ℝ≥0)

HIGH CORRELATION
MISSING

Distinct46
Distinct (%)42.6%
Missing2
Missing (%)1.8%
Infinite0
Infinite (%)0.0%
Mean0.7797222222
Minimum0.46
Maximum1.12
Zeros0
Zeros (%)0.0%
Memory size880.0 B
2022-05-09T17:14:20.691719image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0.46
5-th percentile0.59
Q10.69
median0.785
Q30.87
95-th percentile0.98
Maximum1.12
Range0.66
Interquartile range (IQR)0.18

Descriptive statistics

Standard deviation0.1258649204
Coefficient of variation (CV)0.1614227693
Kurtosis0.1063259916
Mean0.7797222222
Median Absolute Deviation (MAD)0.085
Skewness0.2469875001
Sum84.21
Variance0.01584197819
MonotocityNot monotonic
2022-05-09T17:14:20.894762image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%) 
0.81210.9%
 
0.7587.3%
 
0.8765.5%
 
0.6954.5%
 
0.8343.6%
 
0.732.7%
 
0.7732.7%
 
0.8932.7%
 
0.8432.7%
 
0.6732.7%
 
Other values (36)5852.7%
 
ValueCountFrequency (%) 
0.4610.9%
 
0.5410.9%
 
0.5610.9%
 
0.5710.9%
 
0.5810.9%
 
ValueCountFrequency (%) 
1.1210.9%
 
1.1110.9%
 
1.0710.9%
 
1.0610.9%
 
0.9910.9%
 

othervariablecosts_gbpperkgcarc
Real number (ℝ≥0)

MISSING

Distinct27
Distinct (%)25.0%
Missing2
Missing (%)1.8%
Infinite0
Infinite (%)0.0%
Mean0.2012037037
Minimum0.07
Maximum0.35
Zeros0
Zeros (%)0.0%
Memory size880.0 B
2022-05-09T17:14:21.066638image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0.07
5-th percentile0.1035
Q10.1675
median0.21
Q30.2325
95-th percentile0.3065
Maximum0.35
Range0.28
Interquartile range (IQR)0.065

Descriptive statistics

Standard deviation0.06132063111
Coefficient of variation (CV)0.3047688983
Kurtosis-0.2927646076
Mean0.2012037037
Median Absolute Deviation (MAD)0.03
Skewness0.06615320413
Sum21.73
Variance0.003760219799
MonotocityNot monotonic
2022-05-09T17:14:21.207295image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%) 
0.221614.5%
 
0.1998.2%
 
0.2398.2%
 
0.2487.3%
 
0.1876.4%
 
0.1265.5%
 
0.1354.5%
 
0.1154.5%
 
0.2754.5%
 
0.1754.5%
 
Other values (17)3330.0%
 
ValueCountFrequency (%) 
0.0710.9%
 
0.0810.9%
 
0.0910.9%
 
0.132.7%
 
0.1154.5%
 
ValueCountFrequency (%) 
0.3510.9%
 
0.3410.9%
 
0.3310.9%
 
0.3221.8%
 
0.3110.9%
 

totalvariablecosts_gbpperkgcarc
Real number (ℝ≥0)

HIGH CORRELATION
MISSING

Distinct52
Distinct (%)48.1%
Missing2
Missing (%)1.8%
Infinite0
Infinite (%)0.0%
Mean0.9802777778
Minimum0.57
Maximum1.33
Zeros0
Zeros (%)0.0%
Memory size880.0 B
2022-05-09T17:14:21.425881image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0.57
5-th percentile0.71
Q10.85
median1
Q31.09
95-th percentile1.226
Maximum1.33
Range0.76
Interquartile range (IQR)0.24

Descriptive statistics

Standard deviation0.160376067
Coefficient of variation (CV)0.1636026753
Kurtosis-0.4126372361
Mean0.9802777778
Median Absolute Deviation (MAD)0.11
Skewness-0.2188625576
Sum105.87
Variance0.02572048287
MonotocityNot monotonic
2022-05-09T17:14:21.614700image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
1.1265.5%
 
0.8554.5%
 
1.0254.5%
 
0.9854.5%
 
1.0954.5%
 
1.0543.6%
 
1.0743.6%
 
0.7332.7%
 
1.1132.7%
 
0.9732.7%
 
Other values (42)6559.1%
 
ValueCountFrequency (%) 
0.5710.9%
 
0.6510.9%
 
0.6810.9%
 
0.6910.9%
 
0.710.9%
 
ValueCountFrequency (%) 
1.3321.8%
 
1.2910.9%
 
1.2810.9%
 
1.2421.8%
 
1.210.9%
 

labour_gbpperkgcarc
Real number (ℝ≥0)

MISSING

Distinct14
Distinct (%)13.0%
Missing2
Missing (%)1.8%
Infinite0
Infinite (%)0.0%
Mean0.1119444444
Minimum0.03
Maximum0.16
Zeros0
Zeros (%)0.0%
Memory size880.0 B
2022-05-09T17:14:21.757344image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0.03
5-th percentile0.05
Q10.0975
median0.12
Q30.13
95-th percentile0.15
Maximum0.16
Range0.13
Interquartile range (IQR)0.0325

Descriptive statistics

Standard deviation0.0329388653
Coefficient of variation (CV)0.2942429655
Kurtosis-0.1976829479
Mean0.1119444444
Median Absolute Deviation (MAD)0.02
Skewness-0.8065289606
Sum12.09
Variance0.001084968847
MonotocityNot monotonic
2022-05-09T17:14:21.899623image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%) 
0.132119.1%
 
0.122018.2%
 
0.151311.8%
 
0.187.3%
 
0.1187.3%
 
0.1476.4%
 
0.0965.5%
 
0.0565.5%
 
0.0665.5%
 
0.1643.6%
 
Other values (4)98.2%
 
ValueCountFrequency (%) 
0.0321.8%
 
0.0421.8%
 
0.0565.5%
 
0.0665.5%
 
0.0732.7%
 
ValueCountFrequency (%) 
0.1643.6%
 
0.151311.8%
 
0.1476.4%
 
0.132119.1%
 
0.122018.2%
 

depreciationandfinance_gbpperkgcarc
Real number (ℝ≥0)

HIGH CORRELATION
MISSING

Distinct24
Distinct (%)22.2%
Missing2
Missing (%)1.8%
Infinite0
Infinite (%)0.0%
Mean0.1749074074
Minimum0.07
Maximum0.32
Zeros0
Zeros (%)0.0%
Memory size880.0 B
2022-05-09T17:14:22.066638image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0.07
5-th percentile0.09
Q10.12
median0.17
Q30.2025
95-th percentile0.29
Maximum0.32
Range0.25
Interquartile range (IQR)0.0825

Descriptive statistics

Standard deviation0.05983615277
Coefficient of variation (CV)0.3421018793
Kurtosis-0.1600883503
Mean0.1749074074
Median Absolute Deviation (MAD)0.04
Skewness0.4468782302
Sum18.89
Variance0.003580365178
MonotocityNot monotonic
2022-05-09T17:14:22.191787image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%) 
0.171311.8%
 
0.21210.9%
 
0.1298.2%
 
0.1698.2%
 
0.2287.3%
 
0.1887.3%
 
0.0965.5%
 
0.154.5%
 
0.1554.5%
 
0.1154.5%
 
Other values (14)2825.5%
 
ValueCountFrequency (%) 
0.0721.8%
 
0.0821.8%
 
0.0965.5%
 
0.154.5%
 
0.1154.5%
 
ValueCountFrequency (%) 
0.3221.8%
 
0.3121.8%
 
0.310.9%
 
0.2921.8%
 
0.2821.8%
 

totalfixedcosts_gbpperkgcarc
Real number (ℝ≥0)

HIGH CORRELATION
MISSING

Distinct34
Distinct (%)31.5%
Missing2
Missing (%)1.8%
Infinite0
Infinite (%)0.0%
Mean0.2863888889
Minimum0.11
Maximum0.48
Zeros0
Zeros (%)0.0%
Memory size880.0 B
2022-05-09T17:14:22.342099image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0.11
5-th percentile0.15
Q10.21
median0.29
Q30.34
95-th percentile0.4365
Maximum0.48
Range0.37
Interquartile range (IQR)0.13

Descriptive statistics

Standard deviation0.08758929578
Coefficient of variation (CV)0.305840412
Kurtosis-0.4492564514
Mean0.2863888889
Median Absolute Deviation (MAD)0.06
Skewness0.06780630737
Sum30.93
Variance0.007671884735
MonotocityNot monotonic
2022-05-09T17:14:22.580137image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%) 
0.291110.0%
 
0.2887.3%
 
0.3276.4%
 
0.3776.4%
 
0.376.4%
 
0.254.5%
 
0.3154.5%
 
0.1954.5%
 
0.2743.6%
 
0.1543.6%
 
Other values (24)4540.9%
 
ValueCountFrequency (%) 
0.1110.9%
 
0.1221.8%
 
0.1310.9%
 
0.1410.9%
 
0.1543.6%
 
ValueCountFrequency (%) 
0.4821.8%
 
0.4621.8%
 
0.4510.9%
 
0.4410.9%
 
0.4332.7%
 

total_gbpperkgcarc
Real number (ℝ≥0)

HIGH CORRELATION
MISSING

Distinct60
Distinct (%)55.6%
Missing2
Missing (%)1.8%
Infinite0
Infinite (%)0.0%
Mean1.266851852
Minimum0.7
Maximum1.7
Zeros0
Zeros (%)0.0%
Memory size880.0 B
2022-05-09T17:14:22.754217image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0.7
5-th percentile0.87
Q11.1475
median1.285
Q31.44
95-th percentile1.553
Maximum1.7
Range1
Interquartile range (IQR)0.2925

Descriptive statistics

Standard deviation0.2236680123
Coefficient of variation (CV)0.1765541977
Kurtosis-0.5210711921
Mean1.266851852
Median Absolute Deviation (MAD)0.155
Skewness-0.424123981
Sum136.82
Variance0.05002737972
MonotocityNot monotonic
2022-05-09T17:14:22.927176image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
1.2565.5%
 
1.4465.5%
 
1.3654.5%
 
1.2754.5%
 
1.5332.7%
 
1.4532.7%
 
1.5232.7%
 
1.3332.7%
 
1.1632.7%
 
0.9532.7%
 
Other values (50)6861.8%
 
ValueCountFrequency (%) 
0.710.9%
 
0.810.9%
 
0.8510.9%
 
0.8621.8%
 
0.8721.8%
 
ValueCountFrequency (%) 
1.721.8%
 
1.6610.9%
 
1.6510.9%
 
1.5810.9%
 
1.5610.9%
 

year
Real number (ℝ≥0)

Distinct6
Distinct (%)5.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2017.545455
Minimum2015
Maximum2020
Zeros0
Zeros (%)0.0%
Memory size880.0 B
2022-05-09T17:14:23.068958image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum2015
5-th percentile2015
Q12016
median2018
Q32019
95-th percentile2020
Maximum2020
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.722151224
Coefficient of variation (CV)0.0008535873231
Kurtosis-1.282116842
Mean2017.545455
Median Absolute Deviation (MAD)1.5
Skewness-0.0454498217
Sum221930
Variance2.965804837
MonotocityNot monotonic
2022-05-09T17:14:23.200118image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
20181917.3%
 
20191917.3%
 
20201917.3%
 
20151816.4%
 
20161816.4%
 
20171715.5%
 
ValueCountFrequency (%) 
20151816.4%
 
20161816.4%
 
20171715.5%
 
20181917.3%
 
20191917.3%
 
ValueCountFrequency (%) 
20201917.3%
 
20191917.3%
 
20181917.3%
 
20171715.5%
 
20161816.4%
 

country_upcase
Categorical

HIGH CORRELATION
UNIFORM

Distinct20
Distinct (%)18.2%
Missing0
Missing (%)0.0%
Memory size880.0 B
AUS
 
6
BEL
 
6
HUN
 
6
EU AVERAGE
 
6
USA
 
6
Other values (15)
80 
ValueCountFrequency (%) 
AUS65.5%
 
BEL65.5%
 
HUN65.5%
 
EU AVERAGE65.5%
 
USA65.5%
 
SWE65.5%
 
SPA65.5%
 
NL65.5%
 
ITA65.5%
 
IRE65.5%
 
Other values (10)5045.5%
 
2022-05-09T17:14:23.358404image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2022-05-09T17:14:23.485033image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length10
Median length3
Mean length3.763636364
Min length2

sow_europertonne
Real number (ℝ≥0)

MISSING

Distinct87
Distinct (%)95.6%
Missing19
Missing (%)17.3%
Infinite0
Infinite (%)0.0%
Mean236.9135165
Minimum147.56
Maximum289
Zeros0
Zeros (%)0.0%
Memory size880.0 B
2022-05-09T17:14:23.660554image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum147.56
5-th percentile174.76
Q1222.495
median242.87
Q3261.06
95-th percentile276.74
Maximum289
Range141.44
Interquartile range (IQR)38.565

Descriptive statistics

Standard deviation31.91333484
Coefficient of variation (CV)0.1347045762
Kurtosis0.0232974851
Mean236.9135165
Median Absolute Deviation (MAD)19.77
Skewness-0.8110954145
Sum21559.13
Variance1018.460941
MonotocityNot monotonic
2022-05-09T17:14:23.847954image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
26521.8%
 
20821.8%
 
25921.8%
 
248.121.8%
 
237.3210.9%
 
26910.9%
 
269.4910.9%
 
28410.9%
 
250.9310.9%
 
254.6510.9%
 
Other values (77)7770.0%
 
(Missing)1917.3%
 
ValueCountFrequency (%) 
147.5610.9%
 
162.8210.9%
 
167.0110.9%
 
170.7110.9%
 
173.1210.9%
 
ValueCountFrequency (%) 
28910.9%
 
28410.9%
 
281.710.9%
 
28110.9%
 
278.4810.9%
 

rearer_europertonne
Real number (ℝ≥0)

MISSING

Distinct90
Distinct (%)98.9%
Missing19
Missing (%)17.3%
Infinite0
Infinite (%)0.0%
Mean365.5004396
Minimum283
Maximum641.27
Zeros0
Zeros (%)0.0%
Memory size880.0 B
2022-05-09T17:14:24.035445image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum283
5-th percentile300.45
Q1328.015
median358.9
Q3383.78
95-th percentile455.345
Maximum641.27
Range358.27
Interquartile range (IQR)55.765

Descriptive statistics

Standard deviation58.3563196
Coefficient of variation (CV)0.1596614211
Kurtosis7.365900932
Mean365.5004396
Median Absolute Deviation (MAD)27.7
Skewness2.163530868
Sum33260.54
Variance3405.460038
MonotocityNot monotonic
2022-05-09T17:14:24.238682image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
37021.8%
 
339.610.9%
 
367.310.9%
 
398.2510.9%
 
354.3210.9%
 
306.2210.9%
 
32910.9%
 
344.310.9%
 
366.5210.9%
 
33310.9%
 
Other values (80)8072.7%
 
(Missing)1917.3%
 
ValueCountFrequency (%) 
28310.9%
 
28610.9%
 
297.710.9%
 
298.2610.9%
 
30010.9%
 
ValueCountFrequency (%) 
641.2710.9%
 
603.9810.9%
 
514.0210.9%
 
481.1810.9%
 
461.710.9%
 

finisher_europertonne
Real number (ℝ≥0)

HIGH CORRELATION
MISSING

Distinct85
Distinct (%)93.4%
Missing19
Missing (%)17.3%
Infinite0
Infinite (%)0.0%
Mean231.1632967
Minimum144.77
Maximum289.31
Zeros0
Zeros (%)0.0%
Memory size880.0 B
2022-05-09T17:14:24.472966image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum144.77
5-th percentile159.385
Q1215.44
median236.49
Q3252.32
95-th percentile272.73
Maximum289.31
Range144.54
Interquartile range (IQR)36.88

Descriptive statistics

Standard deviation32.79397431
Coefficient of variation (CV)0.1418649707
Kurtosis0.414263232
Mean231.1632967
Median Absolute Deviation (MAD)17.79
Skewness-0.8208645407
Sum21035.86
Variance1075.444751
MonotocityNot monotonic
2022-05-09T17:14:24.662391image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
25721.8%
 
270.4921.8%
 
26121.8%
 
289.3121.8%
 
24321.8%
 
272.7321.8%
 
159.910.9%
 
26910.9%
 
224.610.9%
 
236.3110.9%
 
Other values (75)7568.2%
 
(Missing)1917.3%
 
ValueCountFrequency (%) 
144.7710.9%
 
150.1910.9%
 
154.510.9%
 
158.0910.9%
 
158.8710.9%
 
ValueCountFrequency (%) 
289.3121.8%
 
285.6210.9%
 
28010.9%
 
272.7321.8%
 
27210.9%
 

averagefarmfeedprice_europertonne
Real number (ℝ≥0)

HIGH CORRELATION
MISSING

Distinct91
Distinct (%)100.0%
Missing19
Missing (%)17.3%
Infinite0
Infinite (%)0.0%
Mean244.5559341
Minimum169.88
Maximum308.27
Zeros0
Zeros (%)0.0%
Memory size880.0 B
2022-05-09T17:14:24.884074image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum169.88
5-th percentile183.205
Q1226.24
median249.46
Q3264.05
95-th percentile294.895
Maximum308.27
Range138.39
Interquartile range (IQR)37.81

Descriptive statistics

Standard deviation31.92075239
Coefficient of variation (CV)0.1305253643
Kurtosis-0.08846038267
Mean244.5559341
Median Absolute Deviation (MAD)18.15
Skewness-0.5063431927
Sum22254.59
Variance1018.934433
MonotocityNot monotonic
2022-05-09T17:14:25.042375image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
176.8110.9%
 
266.4710.9%
 
297.6710.9%
 
252.2310.9%
 
273.5710.9%
 
278.7610.9%
 
240.0410.9%
 
255.6510.9%
 
230.3610.9%
 
250.5410.9%
 
Other values (81)8173.6%
 
(Missing)1917.3%
 
ValueCountFrequency (%) 
169.8810.9%
 
171.6110.9%
 
173.8410.9%
 
176.8110.9%
 
182.5310.9%
 
ValueCountFrequency (%) 
308.2710.9%
 
304.0210.9%
 
301.4610.9%
 
297.6710.9%
 
295.7210.9%
 

_merge_1
Categorical

MISSING

Distinct2
Distinct (%)1.9%
Missing2
Missing (%)1.8%
Memory size242.0 B
both
91 
left_only
17 
ValueCountFrequency (%) 
both9182.7%
 
left_only1715.5%
 
(Missing)21.8%
 
2022-05-09T17:14:25.254512image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2022-05-09T17:14:25.379161image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-09T17:14:25.504304image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length9
Median length4
Mean length4.754545455
Min length3

pigsweanedsowyear
Real number (ℝ≥0)

HIGH CORRELATION
MISSING

Distinct102
Distinct (%)94.4%
Missing2
Missing (%)1.8%
Infinite0
Infinite (%)0.0%
Mean27.65037037
Minimum23.22
Maximum33.89
Zeros0
Zeros (%)0.0%
Memory size880.0 B
2022-05-09T17:14:25.660443image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum23.22
5-th percentile24.387
Q125.74
median27.47
Q329.16
95-th percentile31.867
Maximum33.89
Range10.67
Interquartile range (IQR)3.42

Descriptive statistics

Standard deviation2.323033758
Coefficient of variation (CV)0.0840145621
Kurtosis-0.009116792624
Mean27.65037037
Median Absolute Deviation (MAD)1.73
Skewness0.5129169506
Sum2986.24
Variance5.396485843
MonotocityNot monotonic
2022-05-09T17:14:25.863591image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
25.3432.7%
 
30.121.8%
 
25.7421.8%
 
27.4521.8%
 
24.921.8%
 
25.2710.9%
 
24.1210.9%
 
29.9510.9%
 
29.3710.9%
 
28.4710.9%
 
Other values (92)9283.6%
 
(Missing)21.8%
 
ValueCountFrequency (%) 
23.2210.9%
 
23.9210.9%
 
23.9910.9%
 
24.1210.9%
 
24.310.9%
 
ValueCountFrequency (%) 
33.8910.9%
 
33.610.9%
 
33.5710.9%
 
33.2910.9%
 
32.110.9%
 

pigsrearedsowyear
Real number (ℝ≥0)

HIGH CORRELATION
MISSING

Distinct100
Distinct (%)92.6%
Missing2
Missing (%)1.8%
Infinite0
Infinite (%)0.0%
Mean26.81768519
Minimum22.28
Maximum32.67
Zeros0
Zeros (%)0.0%
Memory size880.0 B
2022-05-09T17:14:26.051090image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum22.28
5-th percentile23.583
Q124.985
median26.73
Q328.2625
95-th percentile30.8935
Maximum32.67
Range10.39
Interquartile range (IQR)3.2775

Descriptive statistics

Standard deviation2.25917552
Coefficient of variation (CV)0.08424200316
Kurtosis-0.0894918437
Mean26.81768519
Median Absolute Deviation (MAD)1.655
Skewness0.4574557449
Sum2896.31
Variance5.103874031
MonotocityNot monotonic
2022-05-09T17:14:26.207345image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
24.8332.7%
 
27.1721.8%
 
24.1521.8%
 
23.4621.8%
 
26.7321.8%
 
25.421.8%
 
28.7421.8%
 
26.3710.9%
 
28.9910.9%
 
27.4910.9%
 
Other values (90)9081.8%
 
(Missing)21.8%
 
ValueCountFrequency (%) 
22.2810.9%
 
23.1710.9%
 
23.2710.9%
 
23.4621.8%
 
23.5210.9%
 
ValueCountFrequency (%) 
32.6710.9%
 
32.4910.9%
 
32.3910.9%
 
32.2610.9%
 
31.3210.9%
 

pigssoldsowyear
Real number (ℝ≥0)

HIGH CORRELATION
MISSING

Distinct103
Distinct (%)95.4%
Missing2
Missing (%)1.8%
Infinite0
Infinite (%)0.0%
Mean26.04277778
Minimum21.57
Maximum31.56
Zeros0
Zeros (%)0.0%
Memory size880.0 B
2022-05-09T17:14:26.427751image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum21.57
5-th percentile22.937
Q124.2725
median25.795
Q327.38
95-th percentile29.996
Maximum31.56
Range9.99
Interquartile range (IQR)3.1075

Descriptive statistics

Standard deviation2.196073315
Coefficient of variation (CV)0.08432561742
Kurtosis-0.2353977857
Mean26.04277778
Median Absolute Deviation (MAD)1.595
Skewness0.4279612546
Sum2812.62
Variance4.822738006
MonotocityNot monotonic
2022-05-09T17:14:26.633707image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
23.9632.7%
 
25.0632.7%
 
26.821.8%
 
23.3110.9%
 
25.9510.9%
 
25.5410.9%
 
28.2110.9%
 
27.4710.9%
 
27.0410.9%
 
31.2910.9%
 
Other values (93)9384.5%
 
(Missing)21.8%
 
ValueCountFrequency (%) 
21.5710.9%
 
22.4410.9%
 
22.6410.9%
 
22.7810.9%
 
22.9210.9%
 
ValueCountFrequency (%) 
31.5610.9%
 
31.4210.9%
 
31.2910.9%
 
31.2610.9%
 
30.3810.9%
 

litterssowyear
Real number (ℝ≥0)

MISSING

Distinct25
Distinct (%)23.1%
Missing2
Missing (%)1.8%
Infinite0
Infinite (%)0.0%
Mean2.308703704
Minimum2.2
Maximum2.47
Zeros0
Zeros (%)0.0%
Memory size880.0 B
2022-05-09T17:14:26.807671image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum2.2
5-th percentile2.22
Q12.2675
median2.3
Q32.34
95-th percentile2.41
Maximum2.47
Range0.27
Interquartile range (IQR)0.0725

Descriptive statistics

Standard deviation0.06035862593
Coefficient of variation (CV)0.02614394642
Kurtosis-0.3988941214
Mean2.308703704
Median Absolute Deviation (MAD)0.04
Skewness0.3773491803
Sum249.34
Variance0.003643163724
MonotocityNot monotonic
2022-05-09T17:14:26.973015image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%) 
2.31311.8%
 
2.3498.2%
 
2.3387.3%
 
2.2387.3%
 
2.2987.3%
 
2.2565.5%
 
2.2765.5%
 
2.2265.5%
 
2.3654.5%
 
2.4154.5%
 
Other values (15)3430.9%
 
ValueCountFrequency (%) 
2.210.9%
 
2.2110.9%
 
2.2265.5%
 
2.2387.3%
 
2.2432.7%
 
ValueCountFrequency (%) 
2.4710.9%
 
2.4421.8%
 
2.4321.8%
 
2.4154.5%
 
2.410.9%
 

rearingmortality
Real number (ℝ≥0)

MISSING

Distinct42
Distinct (%)38.9%
Missing2
Missing (%)1.8%
Infinite0
Infinite (%)0.0%
Mean3.013425926
Minimum1.9
Maximum5.2
Zeros0
Zeros (%)0.0%
Memory size880.0 B
2022-05-09T17:14:27.139799image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum1.9
5-th percentile1.935
Q12.3
median2.95
Q33.6
95-th percentile4.6
Maximum5.2
Range3.3
Interquartile range (IQR)1.3

Descriptive statistics

Standard deviation0.8406007665
Coefficient of variation (CV)0.2789518598
Kurtosis-0.5094254701
Mean3.013425926
Median Absolute Deviation (MAD)0.65
Skewness0.5652608115
Sum325.45
Variance0.7066096487
MonotocityNot monotonic
2022-05-09T17:14:27.317116image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%) 
21412.7%
 
398.2%
 
1.965.5%
 
3.165.5%
 
3.265.5%
 
2.854.5%
 
443.6%
 
4.143.6%
 
2.443.6%
 
4.643.6%
 
Other values (32)4641.8%
 
ValueCountFrequency (%) 
1.965.5%
 
21412.7%
 
2.0810.9%
 
2.110.9%
 
2.243.6%
 
ValueCountFrequency (%) 
5.210.9%
 
510.9%
 
4.810.9%
 
4.643.6%
 
4.510.9%
 

finishingmortality
Real number (ℝ≥0)

MISSING

Distinct50
Distinct (%)46.3%
Missing2
Missing (%)1.8%
Infinite0
Infinite (%)0.0%
Mean2.89
Minimum1.5
Maximum5.3
Zeros0
Zeros (%)0.0%
Memory size880.0 B
2022-05-09T17:14:27.472960image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum1.5
5-th percentile1.7
Q12.4
median2.76
Q33.425
95-th percentile4.36
Maximum5.3
Range3.8
Interquartile range (IQR)1.025

Descriptive statistics

Standard deviation0.7889600395
Coefficient of variation (CV)0.2729965535
Kurtosis0.4746630062
Mean2.89
Median Absolute Deviation (MAD)0.5
Skewness0.6721494674
Sum312.12
Variance0.6224579439
MonotocityNot monotonic
2022-05-09T17:14:27.662384image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
2.51210.9%
 
2.776.4%
 
2.265.5%
 
3.565.5%
 
2.843.6%
 
2.343.6%
 
1.743.6%
 
3.243.6%
 
2.632.7%
 
3.732.7%
 
Other values (40)5550.0%
 
ValueCountFrequency (%) 
1.521.8%
 
1.610.9%
 
1.743.6%
 
1.7410.9%
 
1.821.8%
 
ValueCountFrequency (%) 
5.310.9%
 
5.0110.9%
 
4.9210.9%
 
4.710.9%
 
4.6410.9%
 

finishingdailyliveweightgaingday
Real number (ℝ≥0)

MISSING

Distinct78
Distinct (%)72.2%
Missing2
Missing (%)1.8%
Infinite0
Infinite (%)0.0%
Mean830.4074074
Minimum667
Maximum1030
Zeros0
Zeros (%)0.0%
Memory size880.0 B
2022-05-09T17:14:27.899669image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum667
5-th percentile688.05
Q1803
median830
Q3876
95-th percentile972.65
Maximum1030
Range363
Interquartile range (IQR)73

Descriptive statistics

Standard deviation86.4614913
Coefficient of variation (CV)0.1041193642
Kurtosis-0.4369885859
Mean830.4074074
Median Absolute Deviation (MAD)36
Skewness-0.03047379698
Sum89684
Variance7475.589477
MonotocityNot monotonic
2022-05-09T17:14:28.098162image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
82043.6%
 
86043.6%
 
86643.6%
 
83132.7%
 
87632.7%
 
81032.7%
 
88032.7%
 
68721.8%
 
69421.8%
 
70621.8%
 
Other values (68)7870.9%
 
ValueCountFrequency (%) 
66710.9%
 
67810.9%
 
68010.9%
 
68210.9%
 
68721.8%
 
ValueCountFrequency (%) 
103010.9%
 
101010.9%
 
99110.9%
 
98010.9%
 
97510.9%
 

finishingfeedconversionratio
Real number (ℝ≥0)

MISSING

Distinct47
Distinct (%)43.5%
Missing2
Missing (%)1.8%
Infinite0
Infinite (%)0.0%
Mean2.790648148
Minimum2.41
Maximum3.85
Zeros0
Zeros (%)0.0%
Memory size880.0 B
2022-05-09T17:14:28.297708image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum2.41
5-th percentile2.48
Q12.63
median2.73
Q32.85
95-th percentile3.577
Maximum3.85
Range1.44
Interquartile range (IQR)0.22

Descriptive statistics

Standard deviation0.288292664
Coefficient of variation (CV)0.1033067046
Kurtosis5.17352947
Mean2.790648148
Median Absolute Deviation (MAD)0.115
Skewness2.147871124
Sum301.39
Variance0.08311266009
MonotocityNot monotonic
2022-05-09T17:14:28.476822image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%) 
2.698.2%
 
2.754.5%
 
2.8343.6%
 
2.7943.6%
 
2.6943.6%
 
2.6843.6%
 
2.8643.6%
 
2.7232.7%
 
2.7532.7%
 
332.7%
 
Other values (37)6559.1%
 
ValueCountFrequency (%) 
2.4110.9%
 
2.4421.8%
 
2.4621.8%
 
2.4832.7%
 
2.532.7%
 
ValueCountFrequency (%) 
3.8510.9%
 
3.7910.9%
 
3.7510.9%
 
3.7421.8%
 
3.7110.9%
 

averageliveweightatslaughterkg
Real number (ℝ≥0)

HIGH CORRELATION
MISSING

Distinct26
Distinct (%)24.1%
Missing2
Missing (%)1.8%
Infinite0
Infinite (%)0.0%
Mean121.1111111
Minimum106
Maximum170
Zeros0
Zeros (%)0.0%
Memory size880.0 B
2022-05-09T17:14:28.646282image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum106
5-th percentile109
Q1113
median120
Q3122
95-th percentile154.7
Maximum170
Range64
Interquartile range (IQR)9

Descriptive statistics

Standard deviation13.14358757
Coefficient of variation (CV)0.1085250349
Kurtosis8.137114346
Mean121.1111111
Median Absolute Deviation (MAD)4
Skewness2.728206432
Sum13080
Variance172.7538941
MonotocityNot monotonic
2022-05-09T17:14:28.804624image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%) 
1221412.7%
 
1211311.8%
 
120109.1%
 
11098.2%
 
12387.3%
 
11354.5%
 
10954.5%
 
17054.5%
 
11943.6%
 
12843.6%
 
Other values (16)3128.2%
 
ValueCountFrequency (%) 
10610.9%
 
10710.9%
 
10810.9%
 
10954.5%
 
11098.2%
 
ValueCountFrequency (%) 
17054.5%
 
16810.9%
 
13021.8%
 
12910.9%
 
12843.6%
 

averagecarcaseweightcoldkg
Real number (ℝ≥0)

HIGH CORRELATION
MISSING

Distinct71
Distinct (%)65.7%
Missing2
Missing (%)1.8%
Infinite0
Infinite (%)0.0%
Mean92.90259259
Minimum81
Maximum137
Zeros0
Zeros (%)0.0%
Memory size880.0 B
2022-05-09T17:14:28.978994image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum81
5-th percentile82.105
Q186.675
median91.3
Q394.4
95-th percentile123.765
Maximum137
Range56
Interquartile range (IQR)7.725

Descriptive statistics

Standard deviation11.58208158
Coefficient of variation (CV)0.124669089
Kurtosis8.845318745
Mean92.90259259
Median Absolute Deviation (MAD)3.2
Skewness2.896510214
Sum10033.48
Variance134.1446138
MonotocityNot monotonic
2022-05-09T17:14:29.121334image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
8343.6%
 
89.843.6%
 
88.232.7%
 
9332.7%
 
8232.7%
 
136.632.7%
 
89.632.7%
 
90.321.8%
 
85.821.8%
 
90.721.8%
 
Other values (61)7971.8%
 
ValueCountFrequency (%) 
8110.9%
 
81.210.9%
 
81.910.9%
 
8232.7%
 
82.310.9%
 
ValueCountFrequency (%) 
13710.9%
 
136.632.7%
 
136.510.9%
 
13510.9%
 
102.910.9%
 

carcasemeatproductionsowyearkg
Real number (ℝ≥0)

MISSING

Distinct105
Distinct (%)97.2%
Missing2
Missing (%)1.8%
Infinite0
Infinite (%)0.0%
Mean2412.296296
Minimum1793
Maximum3214
Zeros0
Zeros (%)0.0%
Memory size880.0 B
2022-05-09T17:14:29.295689image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum1793
5-th percentile1988.9
Q12223.25
median2369
Q32578.5
95-th percentile3048.65
Maximum3214
Range1421
Interquartile range (IQR)355.25

Descriptive statistics

Standard deviation294.3858254
Coefficient of variation (CV)0.1220355169
Kurtosis0.5930386429
Mean2412.296296
Median Absolute Deviation (MAD)175
Skewness0.6711220699
Sum260528
Variance86663.01419
MonotocityNot monotonic
2022-05-09T17:14:29.485652image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
257121.8%
 
236921.8%
 
253121.8%
 
218710.9%
 
270310.9%
 
188710.9%
 
215210.9%
 
266510.9%
 
253810.9%
 
247310.9%
 
Other values (95)9586.4%
 
(Missing)21.8%
 
ValueCountFrequency (%) 
179310.9%
 
186810.9%
 
188710.9%
 
190110.9%
 
194110.9%
 
ValueCountFrequency (%) 
321410.9%
 
318710.9%
 
316910.9%
 
313210.9%
 
312810.9%
 

country
Categorical

HIGH CORRELATION
MISSING

Distinct21
Distinct (%)19.4%
Missing2
Missing (%)1.8%
Memory size880.0 B
AUS
 
6
IRE
 
6
HUN
 
6
USA
 
6
SWE
 
6
Other values (16)
78 
ValueCountFrequency (%) 
AUS65.5%
 
IRE65.5%
 
HUN65.5%
 
USA65.5%
 
SWE65.5%
 
SPA65.5%
 
NL65.5%
 
BEL65.5%
 
ITA65.5%
 
GER65.5%
 
Other values (11)4843.6%
 
2022-05-09T17:14:29.691705image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2022-05-09T17:14:29.863597image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length10
Median length3
Mean length3.763636364
Min length2

_merge_2
Categorical

Distinct3
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size242.0 B
both
106 
left_only
 
2
right_only
 
2
ValueCountFrequency (%) 
both10696.4%
 
left_only21.8%
 
right_only21.8%
 
2022-05-09T17:14:30.066721image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2022-05-09T17:14:30.191725image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-09T17:14:30.301099image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length10
Median length4
Mean length4.2
Min length4

Interactions

2022-05-09T17:12:48.268049image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-09T17:12:48.472273image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-09T17:12:48.597235image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-09T17:12:48.788318image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-09T17:12:48.946633image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-09T17:12:49.097466image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-09T17:12:49.405697image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-09T17:12:49.516704image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-09T17:12:49.628891image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-09T17:12:49.753501image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
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2022-05-09T17:13:57.351600image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-09T17:13:57.472737image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-09T17:13:57.629112image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-09T17:13:57.816587image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-09T17:13:57.970972image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-09T17:13:58.098492image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-09T17:13:58.239844image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-09T17:13:58.350889image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-09T17:13:58.507037image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-09T17:13:58.660644image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-09T17:13:58.822502image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-09T17:13:58.969131image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-09T17:13:59.105129image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-09T17:13:59.246132image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-09T17:13:59.413133image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-09T17:13:59.575134image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-09T17:13:59.714135image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-09T17:13:59.845138image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-09T17:13:59.978137image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-09T17:14:00.117140image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-09T17:14:00.264138image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-09T17:14:00.427145image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-09T17:14:00.585054image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-09T17:14:00.706402image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-09T17:14:00.832877image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-09T17:14:00.964872image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-09T17:14:01.130631image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-09T17:14:01.290776image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-09T17:14:01.436491image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-09T17:14:01.573490image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-09T17:14:01.714489image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-09T17:14:01.854494image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-09T17:14:02.061494image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-09T17:14:02.236490image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-09T17:14:02.368497image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-09T17:14:02.499493image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-09T17:14:02.635495image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-09T17:14:02.783499image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-09T17:14:02.949500image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-09T17:14:03.143498image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-09T17:14:03.298503image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-09T17:14:03.425502image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-09T17:14:03.542505image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-09T17:14:03.691505image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-09T17:14:03.853508image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-09T17:14:04.013506image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-09T17:14:04.196507image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-09T17:14:04.340508image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-09T17:14:04.488512image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-09T17:14:04.616509image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-09T17:14:04.781510image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-09T17:14:04.962516image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-09T17:14:05.114517image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-09T17:14:05.250515image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-09T17:14:05.400515image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-09T17:14:05.546514image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-09T17:14:05.693713image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-09T17:14:05.851978image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-09T17:14:05.989804image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-09T17:14:06.107808image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-09T17:14:06.239934image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-09T17:14:06.377939image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-09T17:14:06.559939image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-09T17:14:06.715146image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-09T17:14:06.872144image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-09T17:14:07.066918image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-09T17:14:07.224905image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-09T17:14:07.487938image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-09T17:14:07.722938image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-09T17:14:07.908940image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-09T17:14:08.090357image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-09T17:14:08.403678image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-09T17:14:08.658683image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-09T17:14:08.920684image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-09T17:14:09.160685image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-09T17:14:09.348233image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-09T17:14:09.535286image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-09T17:14:09.709531image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-09T17:14:09.852307image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-09T17:14:09.994574image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-09T17:14:10.105574image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-09T17:14:10.263908image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-09T17:14:10.358899image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-09T17:14:10.528255image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-09T17:14:10.754258image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-09T17:14:10.966259image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-09T17:14:11.140261image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-09T17:14:11.322173image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-09T17:14:11.474492image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-09T17:14:11.600360image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-09T17:14:11.758754image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-09T17:14:11.917068image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-09T17:14:12.043725image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-09T17:14:12.160371image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-09T17:14:12.281020image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-09T17:14:12.439326image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-09T17:14:12.614801image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-09T17:14:12.789168image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-09T17:14:12.941618image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-09T17:14:13.129146image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-09T17:14:14.042657image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-09T17:14:14.232609image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-09T17:14:14.390965image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-09T17:14:14.535799image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-09T17:14:14.691685image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-09T17:14:14.816588image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-09T17:14:15.004474image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-09T17:14:15.169303image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-09T17:14:15.352859image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-09T17:14:15.511189image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-09T17:14:15.660608image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-09T17:14:15.797273image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-09T17:14:16.004399image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-09T17:14:16.160362image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-09T17:14:16.300992image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-09T17:14:16.425993image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-09T17:14:16.535368image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-09T17:14:16.693952image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-09T17:14:16.883903image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-09T17:14:17.073864image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-09T17:14:17.223194image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Correlations

2022-05-09T17:14:30.462035image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
2022-05-09T17:14:30.954321image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
2022-05-09T17:14:31.410438image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
2022-05-09T17:14:31.853789image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.
2022-05-09T17:14:32.316746image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Missing values

2022-05-09T17:14:17.535351image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-09T17:14:19.012762image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-09T17:14:19.582284image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-09T17:14:20.410725image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Sample

First rows

feed_gbpperkgcarcothervariablecosts_gbpperkgcarctotalvariablecosts_gbpperkgcarclabour_gbpperkgcarcdepreciationandfinance_gbpperkgcarctotalfixedcosts_gbpperkgcarctotal_gbpperkgcarcyearcountry_upcasesow_europertonnerearer_europertonnefinisher_europertonneaveragefarmfeedprice_europertonne_merge_1pigsweanedsowyearpigsrearedsowyearpigssoldsowyearlitterssowyearrearingmortalityfinishingmortalityfinishingdailyliveweightgaingdayfinishingfeedconversionratioaverageliveweightatslaughterkgaveragecarcaseweightcoldkgcarcasemeatproductionsowyearkgcountry_merge_2
00.670.180.850.100.200.311.162015.0AUSNaNNaNNaNNaNleft_only24.4023.7123.312.302.801.70778.02.95120.093.82187.0AUSboth
10.710.140.850.090.150.231.082015.0BELNaNNaNNaNNaNleft_only28.4027.4326.612.333.403.00678.02.86113.091.22428.0BELboth
20.460.110.570.050.070.120.702015.0BRA_MTNaNNaNNaNNaNleft_only25.3624.8524.312.412.002.20831.02.60122.091.12215.0BRA_MTboth
30.650.090.740.050.070.120.872015.0BRA_SCNaNNaNNaNNaNleft_only26.6626.1325.552.302.002.20820.02.60120.089.62289.0BRA_SCboth
40.610.120.730.110.080.190.922015.0CANNaNNaNNaNNaNleft_onlyNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNleft_only
50.630.180.810.100.150.251.062015.0DENNaNNaNNaNNaNleft_only31.2630.2929.172.273.103.70947.02.67110.083.32429.0DENboth
60.610.220.830.130.210.351.182015.0FINNaNNaNNaNNaNleft_only25.8225.2824.622.222.082.60956.02.70122.090.62230.0FINboth
70.660.180.840.100.160.261.102015.0FRANaNNaNNaNNaNleft_only27.8627.1726.192.382.483.59810.02.73120.091.62398.0FRAboth
80.650.220.870.100.170.281.152015.0GERNaNNaNNaNNaNleft_only28.6427.9027.172.342.602.60817.02.82122.094.12556.0GERboth
90.810.221.020.130.170.301.332015.0GBNaNNaNNaNNaNleft_only24.3823.7023.052.272.792.74817.02.69106.081.01868.0GBboth

Last rows

feed_gbpperkgcarcothervariablecosts_gbpperkgcarctotalvariablecosts_gbpperkgcarclabour_gbpperkgcarcdepreciationandfinance_gbpperkgcarctotalfixedcosts_gbpperkgcarctotal_gbpperkgcarcyearcountry_upcasesow_europertonnerearer_europertonnefinisher_europertonneaveragefarmfeedprice_europertonne_merge_1pigsweanedsowyearpigsrearedsowyearpigssoldsowyearlitterssowyearrearingmortalityfinishingmortalityfinishingdailyliveweightgaingdayfinishingfeedconversionratioaverageliveweightatslaughterkgaveragecarcaseweightcoldkgcarcasemeatproductionsowyearkgcountry_merge_2
1000.800.180.970.090.200.301.272020.0HUN242.87343.51226.27238.86both31.9331.3230.382.391.93.00699.02.92118.093.502841.0HUNboth
1010.960.241.200.140.220.361.562020.0IRE289.00414.70280.00308.27both29.2828.4827.722.312.82.70921.02.60115.088.202445.0IREboth
1021.110.221.330.150.220.371.702020.0ITA274.74375.33263.00272.64both25.4124.1423.462.235.02.80706.03.74170.0137.003214.0ITAboth
1030.800.321.120.120.170.291.412020.0NL270.40369.20251.55264.91both30.8230.1129.362.342.32.50866.02.56125.097.402860.0NLboth
1040.840.221.070.090.120.211.272020.0SPA242.27419.05258.64267.61both28.1226.7525.662.304.84.10754.02.46117.088.202264.0SPAboth
1050.880.181.050.150.310.461.522020.0SWE242.50336.90233.50247.20both27.8227.2626.802.242.01.70973.02.82123.090.202416.0SWEboth
1060.640.130.770.070.120.190.962020.0USA176.40433.26158.87182.53both27.2926.0324.652.404.65.30853.02.75129.094.202323.0USAboth
1070.850.241.090.130.210.341.432020.0EU AVERAGE258.64356.31249.20263.34both29.6128.7127.922.303.12.70850.02.79124.096.282672.0EU averageboth
108NaNNaNNaNNaNNaNNaNNaN2015.0HUNNaNNaNNaNNaNNaN23.9223.4622.782.211.92.91667.03.33111.088.202010.0HUNright_only
109NaNNaNNaNNaNNaNNaNNaN2016.0HUNNaNNaNNaNNaNNaN24.9124.4323.622.231.93.31704.03.23113.089.602116.0HUNright_only